NVIDIA is looking for software engineering interns for our teams which develop accelerated mathematical and data processing libraries like cuSparse, cuBLAS, cuSOLVER, cuFFT, nvImgCodec, nvComp, nvmath-python or DALI, that are a key part of high-performance computing and deep learning software stacks. The main purpose of these libraries is to provide the fastest primitives for linear algebra (dense and sparse), quantum computing and computer vision. Does the idea of being at the heart of these projects and applying your knowledge to make an impact around world sound exciting? If yes, then come and join our team!
In this role you will be part of our team responsible for the development of libraries that provide groundbreaking functionality and performance. The internship may include extending the capabilities of existing as well as building new libraries that will be used in various AI and HPC applications. It will involve working with senior software engineers who will provide mentorship and guidance. The project will include implementing new algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work.
